llamaperf

Qwen3.6 27B

on NVIDIA RTX 3090 · llama.cpp · 100,000 ctx

Tone: positiveNVIDIA hardware
May 7, 2026
Throughput
50.0 t/s gen
Quant
Q4_K_M (GGUF)
KV cache
Q4
Flash Attention
on
VRAM reported
24 GB

Use cases

coding

Summary

User reports MTP (Multi-Token Prediction) GGUF with the am17an commit for faster inference. Setup uses a Q4_0 KV cache and a speculative draft of 2. At 100k context, VRAM usage is about 19 GB, and performance degrades above 90k context.